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Published in: Abdominal Radiology 6/2021

01-06-2021 | Magnetic Resonance Imaging | Hepatobiliary

MRI-based R2* mapping in patients with suspected or known iron overload

Authors: Emre Aslan, Jack W. Luo, An Lesage, Philippe Paquin, Milena Cerny, Anne Shu-Lei Chin, Damien Olivié, Guillaume Gilbert, Denis Soulières, An Tang

Published in: Abdominal Radiology | Issue 6/2021

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Abstract

Purpose

R2* relaxometry is a quantitative method for assessment of iron overload. The purpose is to analyze the cross-sectional relationships between R2* in organs across patients with primary and secondary iron overload. Secondary analyses were conducted to analyze R2* according to treatment regimen.

Methods

This is a retrospective, cross-sectional, institutional review board-approved study of eighty-one adult patients with known or suspected iron overload. R2* was measured by segmenting the liver, spleen, bone marrow, pancreas, renal cortex, renal medulla, and myocardium using breath-hold multi-echo gradient-recalled echo imaging at 1.5 T. Phlebotomy, transfusion, and chelation therapy were documented. Analyses included correlation, Kruskal–Wallis, and post hoc Dunn tests. p < 0.01 was considered significant.

Results

Correlations between liver R2* and that of the spleen, bone marrow, pancreas, and heart were respectively 0.49, 0.33, 0.27, and 0.34. R2* differed between patients with primary and secondary overload in the liver (p < 0.001), spleen (p < 0.001), bone marrow (p < 0.01), renal cortex (p < 0.001), and renal medulla (p < 0.001). Liver, spleen, and bone marrow R2* were higher in thalassemia than in hereditary hemochromatosis (all p < 0.01). Renal cortex R2* was higher in sickle cell disease than in hereditary hemochromatosis (p < 0.001) and in thalassemia (p < 0.001). Overall, there was a trend toward lower liver R2* in patients assigned to phlebotomy and higher liver R2* in patients assigned to transfusion and chelation therapy.

Conclusion

R2* relaxometry revealed differences in degree or distribution of iron overload between organs, underlying etiologies, and treatment.
Literature
1.
go back to reference Piperno A (1998) Classification and diagnosis of iron overload. Haematologica 83 (5):447-455PubMed Piperno A (1998) Classification and diagnosis of iron overload. Haematologica 83 (5):447-455PubMed
2.
go back to reference Modell B, Darlison M (2008) Global epidemiology of haemoglobin disorders and derived service indicators. Bull World Health Organ 86 (6):480-487CrossRef Modell B, Darlison M (2008) Global epidemiology of haemoglobin disorders and derived service indicators. Bull World Health Organ 86 (6):480-487CrossRef
7.
go back to reference Kwan T, Leber B, Ahuja S, Carter R, Gerstein HC (1998) Patients with type 2 diabetes have a high frequency of the C282Y mutation of the hemochromatosis gene. Clin Invest Med 21 (6):251-257PubMed Kwan T, Leber B, Ahuja S, Carter R, Gerstein HC (1998) Patients with type 2 diabetes have a high frequency of the C282Y mutation of the hemochromatosis gene. Clin Invest Med 21 (6):251-257PubMed
13.
go back to reference Villeneuve JP, Bilodeau M, Lepage R, Cote J, Lefebvre M (1996) Variability in hepatic iron concentration measurement from needle-biopsy specimens. Journal of hepatology 25 (2):172-177CrossRef Villeneuve JP, Bilodeau M, Lepage R, Cote J, Lefebvre M (1996) Variability in hepatic iron concentration measurement from needle-biopsy specimens. Journal of hepatology 25 (2):172-177CrossRef
14.
go back to reference Emond MJ, Bronner MP, Carlson TH, Lin M, Labbe RF, Kowdley KV (1999) Quantitative study of the variability of hepatic iron concentrations. Clin Chem 45 (3):340-346CrossRef Emond MJ, Bronner MP, Carlson TH, Lin M, Labbe RF, Kowdley KV (1999) Quantitative study of the variability of hepatic iron concentrations. Clin Chem 45 (3):340-346CrossRef
17.
go back to reference Franca M, Marti-Bonmati L, Porto G, Silva S, Guimaraes S, Alberich-Bayarri A, Vizcaino JR, Pessegueiro Miranda H (2018) Tissue iron quantification in chronic liver diseases using MRI shows a relationship between iron accumulation in liver, spleen, and bone marrow. Clinical radiology 73 (2):215 e211–215 e219. https://doi.org/10.1016/j.crad.2017.07.022 Franca M, Marti-Bonmati L, Porto G, Silva S, Guimaraes S, Alberich-Bayarri A, Vizcaino JR, Pessegueiro Miranda H (2018) Tissue iron quantification in chronic liver diseases using MRI shows a relationship between iron accumulation in liver, spleen, and bone marrow. Clinical radiology 73 (2):215 e211–215 e219. https://​doi.​org/​10.​1016/​j.​crad.​2017.​07.​022
21.
go back to reference Wood JC, Enriquez C, Ghugre N, Tyzka JM, Carson S, Nelson MD, Coates TD (2005) MRI R2 and R2* mapping accurately estimates hepatic iron concentration in transfusion-dependent thalassemia and sickle cell disease patients. Blood 106 (4):1460-1465. doi:2004-10-3982CrossRef Wood JC, Enriquez C, Ghugre N, Tyzka JM, Carson S, Nelson MD, Coates TD (2005) MRI R2 and R2* mapping accurately estimates hepatic iron concentration in transfusion-dependent thalassemia and sickle cell disease patients. Blood 106 (4):1460-1465. doi:2004-10-3982CrossRef
22.
go back to reference Krzanowski WJ (2000) Principles of multivariate analysis : a user's perspective. Rev. edn. Oxford University Press, Oxford Krzanowski WJ (2000) Principles of multivariate analysis : a user's perspective. Rev. edn. Oxford University Press, Oxford
23.
go back to reference Papakonstantinou O, Alexopoulou E, Economopoulos N, Benekos O, Kattamis A, Kostaridou S, Ladis V, Efstathopoulos E, Gouliamos A, Kelekis NL (2009) Assessment of iron distribution between liver, spleen, pancreas, bone marrow, and myocardium by means of R2 relaxometry with MRI in patients with beta-thalassemia major. J Magn Reson Imaging 29 (4):853-859. https://doi.org/10.1002/jmri.21707CrossRefPubMed Papakonstantinou O, Alexopoulou E, Economopoulos N, Benekos O, Kattamis A, Kostaridou S, Ladis V, Efstathopoulos E, Gouliamos A, Kelekis NL (2009) Assessment of iron distribution between liver, spleen, pancreas, bone marrow, and myocardium by means of R2 relaxometry with MRI in patients with beta-thalassemia major. J Magn Reson Imaging 29 (4):853-859. https://​doi.​org/​10.​1002/​jmri.​21707CrossRefPubMed
34.
go back to reference Yawn BP, Buchanan GR, Afenyi-Annan AN, Ballas SK, Hassell KL, James AH, Jordan L, Lanzkron SM, Lottenberg R, Savage WJ, Tanabe PJ, Ware RE, Murad MH, Goldsmith JC, Ortiz E, Fulwood R, Horton A, John-Sowah J (2014) Management of sickle cell disease: summary of the 2014 evidence-based report by expert panel members. JAMA 312 (10):1033-1048. https://doi.org/10.1001/jama.2014.10517CrossRefPubMed Yawn BP, Buchanan GR, Afenyi-Annan AN, Ballas SK, Hassell KL, James AH, Jordan L, Lanzkron SM, Lottenberg R, Savage WJ, Tanabe PJ, Ware RE, Murad MH, Goldsmith JC, Ortiz E, Fulwood R, Horton A, John-Sowah J (2014) Management of sickle cell disease: summary of the 2014 evidence-based report by expert panel members. JAMA 312 (10):1033-1048. https://​doi.​org/​10.​1001/​jama.​2014.​10517CrossRefPubMed
36.
go back to reference Doyle EK, Toy K, Valdez B, Chia JM, Coates T, Wood JC (2018) Ultra-short echo time images quantify high liver iron. Magnetic resonance in medicine : official journal of the Society of Magnetic Resonance in Medicine / Society of Magnetic Resonance in Medicine 79 (3):1579-1585. https://doi.org/10.1002/mrm.26791CrossRef Doyle EK, Toy K, Valdez B, Chia JM, Coates T, Wood JC (2018) Ultra-short echo time images quantify high liver iron. Magnetic resonance in medicine : official journal of the Society of Magnetic Resonance in Medicine / Society of Magnetic Resonance in Medicine 79 (3):1579-1585. https://​doi.​org/​10.​1002/​mrm.​26791CrossRef
37.
go back to reference Krafft AJ, Loeffler RB, Song R, Tipirneni-Sajja A, McCarville MB, Robson MD, Hankins JS, Hillenbrand CM (2017) Quantitative ultrashort echo time imaging for assessment of massive iron overload at 1.5 and 3 Tesla. Magnetic resonance in medicine : official journal of the Society of Magnetic Resonance in Medicine / Society of Magnetic Resonance in Medicine. https://doi.org/10.1002/mrm.26592 Krafft AJ, Loeffler RB, Song R, Tipirneni-Sajja A, McCarville MB, Robson MD, Hankins JS, Hillenbrand CM (2017) Quantitative ultrashort echo time imaging for assessment of massive iron overload at 1.5 and 3 Tesla. Magnetic resonance in medicine : official journal of the Society of Magnetic Resonance in Medicine / Society of Magnetic Resonance in Medicine. https://​doi.​org/​10.​1002/​mrm.​26592
39.
go back to reference Telfer P, Coen PG, Christou S, Hadjigavriel M, Kolnakou A, Pangalou E, Pavlides N, Psiloines M, Simamonian K, Skordos G, Sitarou M, Angastiniotis M (2006) Survival of medically treated thalassemia patients in Cyprus. Trends and risk factors over the period 1980–2004. Haematologica 91 (9):1187–1192 Telfer P, Coen PG, Christou S, Hadjigavriel M, Kolnakou A, Pangalou E, Pavlides N, Psiloines M, Simamonian K, Skordos G, Sitarou M, Angastiniotis M (2006) Survival of medically treated thalassemia patients in Cyprus. Trends and risk factors over the period 1980–2004. Haematologica 91 (9):1187–1192
Metadata
Title
MRI-based R2* mapping in patients with suspected or known iron overload
Authors
Emre Aslan
Jack W. Luo
An Lesage
Philippe Paquin
Milena Cerny
Anne Shu-Lei Chin
Damien Olivié
Guillaume Gilbert
Denis Soulières
An Tang
Publication date
01-06-2021
Publisher
Springer US
Published in
Abdominal Radiology / Issue 6/2021
Print ISSN: 2366-004X
Electronic ISSN: 2366-0058
DOI
https://doi.org/10.1007/s00261-020-02912-w

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